Triple
T23204071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derrick White |
E580396
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Derrick |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Derrick | Statement: [Derrick White, givenName, Derrick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derrick Context triple: [Derrick White, givenName, Derrick]
-
A.
Derrick
Derrick is a Slytherin student at Hogwarts who plays on the house Quidditch team, known for his rough and aggressive style on the field.
-
B.
Derrick
"Derrick" is a long-running German crime television series that follows Inspector Stephan Derrick and his assistant Harry Klein as they investigate murder cases in and around Munich.
-
C.
Derrick
chosen
Derrick is the given name of Derrick Rose, an American professional basketball player and former NBA MVP.
-
D.
Darell
Darell is a surname most notably associated with characters in Isaac Asimov’s Foundation series, including the psychohistorian Bayta Darell.
-
E.
Darell
Darell is a Puerto Rican reggaeton and Latin trap singer and rapper known for his collaborations on major urban Latin hits.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907b3e88819088a397a99456bf77 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.